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An Intelligent Tutoring System for Learning Chinese with a Cognitive Model of the Learner
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Kosek, Michal; Lison, Pierre – Research-publishing.net, 2014
We present an intelligent tutoring system that lets students of Chinese learn words and grammatical constructions. It relies on a Bayesian, linguistically motivated cognitive model that represents the learner's knowledge. This model is dynamically updated given observations about the learner's behaviour in the exercises, and employed at runtime to…
Descriptors: Intelligent Tutoring Systems, Grammar, Bayesian Statistics, Second Language Learning